Overview

Dataset statistics

Number of variables33
Number of observations28
Missing cells229
Missing cells (%)24.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory284.7 B

Variable types

Numeric7
Categorical11
DateTime6
Unsupported5
Text4

Dataset

Description23년06월_6270000_대구광역시_07_22_24_P_축산물보관업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098694&dataSetDetailId=DDI_0000098724&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업시작일자 has constant value ""Constant
축산업무구분명 has constant value ""Constant
인허가취소일자 has 28 (100.0%) missing valuesMissing
폐업일자 has 18 (64.3%) missing valuesMissing
휴업시작일자 has 27 (96.4%) missing valuesMissing
휴업종료일자 has 28 (100.0%) missing valuesMissing
재개업일자 has 22 (78.6%) missing valuesMissing
소재지전화 has 8 (28.6%) missing valuesMissing
소재지우편번호 has 28 (100.0%) missing valuesMissing
소재지전체주소 has 1 (3.6%) missing valuesMissing
도로명전체주소 has 1 (3.6%) missing valuesMissing
도로명우편번호 has 8 (28.6%) missing valuesMissing
업태구분명 has 28 (100.0%) missing valuesMissing
좌표정보(X) has 2 (7.1%) missing valuesMissing
좌표정보(Y) has 2 (7.1%) missing valuesMissing
축산물가공업구분명 has 28 (100.0%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
축산물가공업구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 6 (21.4%) zerosZeros

Reproduction

Analysis started2023-12-10 20:49:19.046895
Analysis finished2023-12-10 20:49:19.732046
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T05:49:19.871030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile26.65
Maximum28
Range27
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.2259751
Coefficient of variation (CV)0.56730863
Kurtosis-1.2
Mean14.5
Median Absolute Deviation (MAD)7
Skewness0
Sum406
Variance67.666667
MonotonicityStrictly increasing
2023-12-11T05:49:20.100295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
23 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
23 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
축산물보관업
28 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row축산물보관업
2nd row축산물보관업
3rd row축산물보관업
4th row축산물보관업
5th row축산물보관업

Common Values

ValueCountFrequency (%)
축산물보관업 28
100.0%

Length

2023-12-11T05:49:20.323443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:20.496698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 28
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
07_22_24_P
28 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_22_24_P
2nd row07_22_24_P
3rd row07_22_24_P
4th row07_22_24_P
5th row07_22_24_P

Common Values

ValueCountFrequency (%)
07_22_24_P 28
100.0%

Length

2023-12-11T05:49:20.677060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:20.845306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
07_22_24_p 28
100.0%

개방자치단체코드
Real number (ℝ)

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455714.3
Minimum3420000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T05:49:20.993648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3420000
5-th percentile3420000
Q13450000
median3450000
Q33480000
95-th percentile3480000
Maximum3480000
Range60000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation20625.15
Coefficient of variation (CV)0.0059684189
Kurtosis-1.0350841
Mean3455714.3
Median Absolute Deviation (MAD)20000
Skewness-0.30059274
Sum96760000
Variance4.2539683 × 108
MonotonicityIncreasing
2023-12-11T05:49:21.178005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3450000 10
35.7%
3480000 8
28.6%
3420000 3
 
10.7%
3430000 3
 
10.7%
3470000 3
 
10.7%
3460000 1
 
3.6%
ValueCountFrequency (%)
3420000 3
 
10.7%
3430000 3
 
10.7%
3450000 10
35.7%
3460000 1
 
3.6%
3470000 3
 
10.7%
3480000 8
28.6%
ValueCountFrequency (%)
3480000 8
28.6%
3470000 3
 
10.7%
3460000 1
 
3.6%
3450000 10
35.7%
3430000 3
 
10.7%
3420000 3
 
10.7%

관리번호
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4557143 × 1017
Minimum3.42 × 1017
Maximum3.48 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T05:49:21.414990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.42 × 1017
5-th percentile3.42 × 1017
Q13.45 × 1017
median3.45 × 1017
Q33.48 × 1017
95-th percentile3.48 × 1017
Maximum3.48 × 1017
Range6 × 1015
Interquartile range (IQR)3 × 1015

Descriptive statistics

Standard deviation2.062515 × 1015
Coefficient of variation (CV)0.0059684188
Kurtosis-1.0350841
Mean3.4557143 × 1017
Median Absolute Deviation (MAD)2 × 1015
Skewness-0.30059274
Sum-8.7707441 × 1018
Variance4.2539683 × 1030
MonotonicityNot monotonic
2023-12-11T05:49:21.651523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
342000000720110001 1
 
3.6%
345000000720220001 1
 
3.6%
348000000720200001 1
 
3.6%
348000000720230001 1
 
3.6%
348000000720210001 1
 
3.6%
348000000720150001 1
 
3.6%
348000000720050001 1
 
3.6%
348000000720200002 1
 
3.6%
348000000720010001 1
 
3.6%
348000000720220001 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
342000000720110001 1
3.6%
342000000720130001 1
3.6%
342000000720160001 1
3.6%
343000000720090001 1
3.6%
343000000720120001 1
3.6%
343000000720230001 1
3.6%
345000000720070001 1
3.6%
345000000720090001 1
3.6%
345000000720090002 1
3.6%
345000000720100001 1
3.6%
ValueCountFrequency (%)
348000000720230001 1
3.6%
348000000720220001 1
3.6%
348000000720210001 1
3.6%
348000000720200002 1
3.6%
348000000720200001 1
3.6%
348000000720150001 1
3.6%
348000000720050001 1
3.6%
348000000720010001 1
3.6%
347000000720180001 1
3.6%
347000000720070001 1
3.6%

인허가일자
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum1998-08-07 00:00:00
Maximum2023-04-17 00:00:00
2023-12-11T05:49:21.904640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:49:22.166608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
17 
3
10 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 17
60.7%
3 10
35.7%
2 1
 
3.6%

Length

2023-12-11T05:49:22.403582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:22.549089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
60.7%
3 10
35.7%
2 1
 
3.6%

영업상태명
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업/정상
17 
폐업
10 
휴업
 
1

Length

Max length5
Median length5
Mean length3.8214286
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 17
60.7%
폐업 10
35.7%
휴업 1
 
3.6%

Length

2023-12-11T05:49:22.754382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:22.932177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
60.7%
폐업 10
35.7%
휴업 1
 
3.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
17 
2
10 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row2
2nd row0
3rd row2
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 17
60.7%
2 10
35.7%
1 1
 
3.6%

Length

2023-12-11T05:49:23.119869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:23.656352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 17
60.7%
2 10
35.7%
1 1
 
3.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
정상
17 
폐업
10 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row폐업
2nd row정상
3rd row폐업
4th row폐업
5th row정상

Common Values

ValueCountFrequency (%)
정상 17
60.7%
폐업 10
35.7%
휴업 1
 
3.6%

Length

2023-12-11T05:49:23.835114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:24.076664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 17
60.7%
폐업 10
35.7%
휴업 1
 
3.6%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing18
Missing (%)64.3%
Memory size356.0 B
Minimum2009-03-30 00:00:00
Maximum2021-04-29 00:00:00
2023-12-11T05:49:24.311217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:49:24.486580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing27
Missing (%)96.4%
Memory size356.0 B
Minimum2020-06-10 00:00:00
Maximum2020-06-10 00:00:00
2023-12-11T05:49:24.649317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:49:24.818815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

재개업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing22
Missing (%)78.6%
Memory size356.0 B
Minimum2018-06-28 00:00:00
Maximum2021-04-29 00:00:00
2023-12-11T05:49:24.971406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:49:25.132677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

소재지전화
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing8
Missing (%)28.6%
Memory size356.0 B
2023-12-11T05:49:25.400962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length10.45
Min length8

Characters and Unicode

Total characters209
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row053-384-5878
2nd row053-359-3665
3rd row580-2527
4th row357-5556
5th row280-5000
ValueCountFrequency (%)
070-4923-5167 1
 
5.0%
580-2527 1
 
5.0%
0533566888 1
 
5.0%
053)631-0805 1
 
5.0%
053-583-7069 1
 
5.0%
607-5002 1
 
5.0%
053-566-0980 1
 
5.0%
593-2264 1
 
5.0%
795-4253 1
 
5.0%
053-383-9908 1
 
5.0%
Other values (10) 10
50.0%
2023-12-11T05:49:25.895273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 33
15.8%
5 33
15.8%
3 31
14.8%
- 28
13.4%
8 17
8.1%
2 14
6.7%
6 14
6.7%
9 11
 
5.3%
7 10
 
4.8%
1 9
 
4.3%
Other values (2) 9
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
86.1%
Dash Punctuation 28
 
13.4%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 33
18.3%
5 33
18.3%
3 31
17.2%
8 17
9.4%
2 14
7.8%
6 14
7.8%
9 11
 
6.1%
7 10
 
5.6%
1 9
 
5.0%
4 8
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 33
15.8%
5 33
15.8%
3 31
14.8%
- 28
13.4%
8 17
8.1%
2 14
6.7%
6 14
6.7%
9 11
 
5.3%
7 10
 
4.8%
1 9
 
4.3%
Other values (2) 9
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 33
15.8%
5 33
15.8%
3 31
14.8%
- 28
13.4%
8 17
8.1%
2 14
6.7%
6 14
6.7%
9 11
 
5.3%
7 10
 
4.8%
1 9
 
4.3%
Other values (2) 9
 
4.3%

소재지면적
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean525.89393
Minimum0
Maximum3562
Zeros6
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T05:49:26.101271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.6125
median256.36
Q3740.8275
95-th percentile1604.673
Maximum3562
Range3562
Interquartile range (IQR)723.215

Descriptive statistics

Standard deviation756.36636
Coefficient of variation (CV)1.4382489
Kurtosis9.1487098
Mean525.89393
Median Absolute Deviation (MAD)251.96
Skewness2.7098808
Sum14725.03
Variance572090.07
MonotonicityNot monotonic
2023-12-11T05:49:26.274390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 6
21.4%
191.8 1
 
3.6%
409.8 1
 
3.6%
433.0 1
 
3.6%
696.57 1
 
3.6%
873.6 1
 
3.6%
97.5 1
 
3.6%
440.0 1
 
3.6%
431.2 1
 
3.6%
8.8 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
0.0 6
21.4%
8.8 1
 
3.6%
20.55 1
 
3.6%
97.5 1
 
3.6%
148.52 1
 
3.6%
191.8 1
 
3.6%
200.0 1
 
3.6%
206.0 1
 
3.6%
247.0 1
 
3.6%
265.72 1
 
3.6%
ValueCountFrequency (%)
3562.0 1
3.6%
1708.0 1
3.6%
1412.78 1
3.6%
1166.0 1
3.6%
1047.08 1
3.6%
891.99 1
3.6%
873.6 1
3.6%
696.57 1
3.6%
440.0 1
3.6%
433.0 1
3.6%

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소재지전체주소
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2023-12-11T05:49:26.597188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.740741
Min length17

Characters and Unicode

Total characters560
Distinct characters65
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 부동 502-3
2nd row대구광역시 동구 방촌동 1093-1
3rd row대구광역시 서구 비산동 1660
4th row대구광역시 서구 이현동 45-278
5th row대구광역시 서구 상리동 474
ValueCountFrequency (%)
대구광역시 27
23.1%
북구 10
 
8.5%
달성군 8
 
6.8%
서구 3
 
2.6%
산격동 3
 
2.6%
논공읍 3
 
2.6%
팔달동 3
 
2.6%
달서구 3
 
2.6%
강림리 2
 
1.7%
동구 2
 
1.7%
Other values (51) 53
45.3%
2023-12-11T05:49:27.180469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
20.9%
구 46
 
8.2%
대 27
 
4.8%
광 27
 
4.8%
역 27
 
4.8%
시 27
 
4.8%
동 21
 
3.8%
- 19
 
3.4%
2 18
 
3.2%
1 16
 
2.9%
Other values (55) 215
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 306
54.6%
Space Separator 117
 
20.9%
Decimal Number 117
 
20.9%
Dash Punctuation 19
 
3.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 46
15.0%
대 27
 
8.8%
광 27
 
8.8%
역 27
 
8.8%
시 27
 
8.8%
동 21
 
6.9%
달 14
 
4.6%
북 10
 
3.3%
리 10
 
3.3%
읍 9
 
2.9%
Other values (42) 88
28.8%
Decimal Number
ValueCountFrequency (%)
2 18
15.4%
1 16
13.7%
0 15
12.8%
6 12
10.3%
3 11
9.4%
7 11
9.4%
4 11
9.4%
8 9
7.7%
5 9
7.7%
9 5
 
4.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 306
54.6%
Common 254
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 46
15.0%
대 27
 
8.8%
광 27
 
8.8%
역 27
 
8.8%
시 27
 
8.8%
동 21
 
6.9%
달 14
 
4.6%
북 10
 
3.3%
리 10
 
3.3%
읍 9
 
2.9%
Other values (42) 88
28.8%
Common
ValueCountFrequency (%)
117
46.1%
- 19
 
7.5%
2 18
 
7.1%
1 16
 
6.3%
0 15
 
5.9%
6 12
 
4.7%
3 11
 
4.3%
7 11
 
4.3%
4 11
 
4.3%
8 9
 
3.5%
Other values (3) 15
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 306
54.6%
ASCII 254
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
46.1%
- 19
 
7.5%
2 18
 
7.1%
1 16
 
6.3%
0 15
 
5.9%
6 12
 
4.7%
3 11
 
4.3%
7 11
 
4.3%
4 11
 
4.3%
8 9
 
3.5%
Other values (3) 15
 
5.9%
Hangul
ValueCountFrequency (%)
구 46
15.0%
대 27
 
8.8%
광 27
 
8.8%
역 27
 
8.8%
시 27
 
8.8%
동 21
 
6.9%
달 14
 
4.6%
북 10
 
3.3%
리 10
 
3.3%
읍 9
 
2.9%
Other values (42) 88
28.8%

도로명전체주소
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2023-12-11T05:49:27.532599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length24.407407
Min length20

Characters and Unicode

Total characters659
Distinct characters89
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row대구광역시 동구 팔공로 220-2 (봉무동)
2nd row대구광역시 동구 동촌로 260 (방촌동, (주)푸드웰)
3rd row대구광역시 서구 서대구로63길 11 (비산동)
4th row대구광역시 서구 국채보상로3길 25 (이현동)
5th row대구광역시 서구 새방로27길 12-8 (상리동)
ValueCountFrequency (%)
대구광역시 27
 
19.9%
북구 10
 
7.4%
달성군 8
 
5.9%
논공읍 3
 
2.2%
산격동 3
 
2.2%
달서구 3
 
2.2%
서구 3
 
2.2%
동구 2
 
1.5%
21 2
 
1.5%
팔달동 2
 
1.5%
Other values (70) 73
53.7%
2023-12-11T05:49:28.049789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
16.5%
구 47
 
7.1%
대 30
 
4.6%
시 29
 
4.4%
역 27
 
4.1%
광 27
 
4.1%
동 26
 
3.9%
로 26
 
3.9%
2 20
 
3.0%
( 20
 
3.0%
Other values (79) 298
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 404
61.3%
Space Separator 109
 
16.5%
Decimal Number 97
 
14.7%
Open Punctuation 20
 
3.0%
Close Punctuation 20
 
3.0%
Dash Punctuation 6
 
0.9%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
 
11.6%
대 30
 
7.4%
시 29
 
7.2%
역 27
 
6.7%
광 27
 
6.7%
동 26
 
6.4%
로 26
 
6.4%
길 16
 
4.0%
달 14
 
3.5%
북 12
 
3.0%
Other values (64) 150
37.1%
Decimal Number
ValueCountFrequency (%)
2 20
20.6%
1 20
20.6%
3 12
12.4%
4 10
10.3%
6 9
9.3%
5 8
 
8.2%
0 6
 
6.2%
7 5
 
5.2%
9 4
 
4.1%
8 3
 
3.1%
Space Separator
ValueCountFrequency (%)
109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 404
61.3%
Common 255
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
 
11.6%
대 30
 
7.4%
시 29
 
7.2%
역 27
 
6.7%
광 27
 
6.7%
동 26
 
6.4%
로 26
 
6.4%
길 16
 
4.0%
달 14
 
3.5%
북 12
 
3.0%
Other values (64) 150
37.1%
Common
ValueCountFrequency (%)
109
42.7%
2 20
 
7.8%
( 20
 
7.8%
) 20
 
7.8%
1 20
 
7.8%
3 12
 
4.7%
4 10
 
3.9%
6 9
 
3.5%
5 8
 
3.1%
- 6
 
2.4%
Other values (5) 21
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 404
61.3%
ASCII 255
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
42.7%
2 20
 
7.8%
( 20
 
7.8%
) 20
 
7.8%
1 20
 
7.8%
3 12
 
4.7%
4 10
 
3.9%
6 9
 
3.5%
5 8
 
3.1%
- 6
 
2.4%
Other values (5) 21
 
8.2%
Hangul
ValueCountFrequency (%)
구 47
 
11.6%
대 30
 
7.4%
시 29
 
7.2%
역 27
 
6.7%
광 27
 
6.7%
동 26
 
6.4%
로 26
 
6.4%
길 16
 
4.0%
달 14
 
3.5%
북 12
 
3.0%
Other values (64) 150
37.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)95.0%
Missing8
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean42147.9
Minimum41027
Maximum42983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T05:49:28.231590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41027
5-th percentile41156.2
Q141489.75
median42013.5
Q342935.25
95-th percentile42974.45
Maximum42983
Range1956
Interquartile range (IQR)1445.5

Descriptive statistics

Standard deviation734.76082
Coefficient of variation (CV)0.017432916
Kurtosis-1.8413532
Mean42147.9
Median Absolute Deviation (MAD)651.5
Skewness-0.02700829
Sum842958
Variance539873.46
MonotonicityNot monotonic
2023-12-11T05:49:28.406725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
42968 2
 
7.1%
41163 1
 
3.6%
42974 1
 
3.6%
42983 1
 
3.6%
42928 1
 
3.6%
42957 1
 
3.6%
42922 1
 
3.6%
42627 1
 
3.6%
42703 1
 
3.6%
41027 1
 
3.6%
Other values (9) 9
32.1%
(Missing) 8
28.6%
ValueCountFrequency (%)
41027 1
3.6%
41163 1
3.6%
41439 1
3.6%
41483 1
3.6%
41489 1
3.6%
41490 1
3.6%
41504 1
3.6%
41555 1
3.6%
41751 1
3.6%
41754 1
3.6%
ValueCountFrequency (%)
42983 1
3.6%
42974 1
3.6%
42968 2
7.1%
42957 1
3.6%
42928 1
3.6%
42922 1
3.6%
42703 1
3.6%
42627 1
3.6%
42273 1
3.6%
41754 1
3.6%

사업장명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T05:49:28.677772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12.5
Mean length8
Min length2

Characters and Unicode

Total characters224
Distinct characters88
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row남해유통
2nd row(주)프랜푸드
3rd row주식회사 푸드웰
4th row동보냉동
5th row주식회사 프레시원대구경북
ValueCountFrequency (%)
주식회사 7
 
17.5%
남해유통 1
 
2.5%
디케이냉동산업(주 1
 
2.5%
이곡지점 1
 
2.5%
그린축산식품 1
 
2.5%
주)이마트대구물류센터 1
 
2.5%
대건유통 1
 
2.5%
대영유통 1
 
2.5%
대한축산 1
 
2.5%
주식회사팔도 1
 
2.5%
Other values (24) 24
60.0%
2023-12-11T05:49:29.199327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 18
 
8.0%
12
 
5.4%
사 10
 
4.5%
) 10
 
4.5%
식 10
 
4.5%
회 9
 
4.0%
대 8
 
3.6%
( 8
 
3.6%
유 5
 
2.2%
통 5
 
2.2%
Other values (78) 129
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
85.7%
Space Separator 12
 
5.4%
Close Punctuation 10
 
4.5%
Open Punctuation 8
 
3.6%
Uppercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
9.4%
사 10
 
5.2%
식 10
 
5.2%
회 9
 
4.7%
대 8
 
4.2%
유 5
 
2.6%
통 5
 
2.6%
동 5
 
2.6%
물 4
 
2.1%
이 4
 
2.1%
Other values (73) 114
59.4%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
85.7%
Common 30
 
13.4%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
9.4%
사 10
 
5.2%
식 10
 
5.2%
회 9
 
4.7%
대 8
 
4.2%
유 5
 
2.6%
통 5
 
2.6%
동 5
 
2.6%
물 4
 
2.1%
이 4
 
2.1%
Other values (73) 114
59.4%
Common
ValueCountFrequency (%)
12
40.0%
) 10
33.3%
( 8
26.7%
Latin
ValueCountFrequency (%)
J 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
85.7%
ASCII 32
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 18
 
9.4%
사 10
 
5.2%
식 10
 
5.2%
회 9
 
4.7%
대 8
 
4.2%
유 5
 
2.6%
통 5
 
2.6%
동 5
 
2.6%
물 4
 
2.1%
이 4
 
2.1%
Other values (73) 114
59.4%
ASCII
ValueCountFrequency (%)
12
37.5%
) 10
31.2%
( 8
25.0%
J 1
 
3.1%
M 1
 
3.1%

최종수정시점
Date

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2009-06-26 11:08:42
Maximum2023-04-17 15:29:30
2023-12-11T05:49:29.401538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:49:29.589327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
U
15 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowU
3rd rowU
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
U 15
53.6%
I 13
46.4%

Length

2023-12-11T05:49:29.793895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:29.944240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
53.6%
i 13
46.4%

데이터갱신일자
Date

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2018-08-31 23:59:59
Maximum2023-05-26 08:48:36
2023-12-11T05:49:30.071920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T05:49:30.268724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing2
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean338819.67
Minimum327502.93
Maximum351977.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T05:49:30.468570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum327502.93
5-th percentile329150.47
Q1334410.65
median339075.73
Q3341610.57
95-th percentile349914.51
Maximum351977.85
Range24474.915
Interquartile range (IQR)7199.9256

Descriptive statistics

Standard deviation6236.8058
Coefficient of variation (CV)0.018407449
Kurtosis-0.10728308
Mean338819.67
Median Absolute Deviation (MAD)4479.205
Skewness0.2516943
Sum8809311.4
Variance38897746
MonotonicityNot monotonic
2023-12-11T05:49:30.652349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
343848.961606912 1
 
3.6%
329162.914081465 1
 
3.6%
329146.31922451 1
 
3.6%
332651.312578375 1
 
3.6%
334890.551706603 1
 
3.6%
334250.681306396 1
 
3.6%
327502.933292514 1
 
3.6%
333252.116300539 1
 
3.6%
333920.608530076 1
 
3.6%
338552.897154073 1
 
3.6%
Other values (16) 16
57.1%
(Missing) 2
 
7.1%
ValueCountFrequency (%)
327502.933292514 1
3.6%
329146.31922451 1
3.6%
329162.914081465 1
3.6%
332651.312578375 1
3.6%
333252.116300539 1
3.6%
333920.608530076 1
3.6%
334250.681306396 1
3.6%
334890.551706603 1
3.6%
335900.312180126 1
3.6%
338037.972396414 1
3.6%
ValueCountFrequency (%)
351977.848314512 1
3.6%
350513.484655885 1
3.6%
348117.600847103 1
3.6%
345327.736682658 1
3.6%
345104.629074562 1
3.6%
343848.961606912 1
3.6%
341996.147284023 1
3.6%
340453.85636144 1
3.6%
339689.28538011 1
3.6%
339646.26224248 1
3.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)100.0%
Missing2
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean264198.79
Minimum249603.91
Maximum272998.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T05:49:30.849755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum249603.91
5-th percentile251692.21
Q1262355.34
median265987.38
Q3267922.35
95-th percentile272129.9
Maximum272998.09
Range23394.179
Interquartile range (IQR)5567.0024

Descriptive statistics

Standard deviation6307.6741
Coefficient of variation (CV)0.023874727
Kurtosis0.33865414
Mean264198.79
Median Absolute Deviation (MAD)2799.5642
Skewness-1.0215668
Sum6869168.6
Variance39786752
MonotonicityNot monotonic
2023-12-11T05:49:31.079386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
268049.179397411 1
 
3.6%
254598.879140977 1
 
3.6%
254564.992403405 1
 
3.6%
249603.913214796 1
 
3.6%
264040.034795418 1
 
3.6%
255544.452009634 1
 
3.6%
250734.622164735 1
 
3.6%
265400.046131207 1
 
3.6%
261405.687893304 1
 
3.6%
263092.62812246 1
 
3.6%
Other values (16) 16
57.1%
(Missing) 2
 
7.1%
ValueCountFrequency (%)
249603.913214796 1
3.6%
250734.622164735 1
3.6%
254564.992403405 1
3.6%
254598.879140977 1
3.6%
255544.452009634 1
3.6%
261405.687893304 1
3.6%
262109.58305879 1
3.6%
263092.62812246 1
3.6%
264040.034795418 1
3.6%
264233.635941193 1
3.6%
ValueCountFrequency (%)
272998.09242483 1
3.6%
272892.862307918 1
3.6%
269841.018672797 1
3.6%
269664.126148502 1
3.6%
268810.630389218 1
3.6%
268763.26426025 1
3.6%
268049.179397411 1
3.6%
267541.848882924 1
3.6%
267451.979984021 1
3.6%
267252.975798268 1
3.6%

축산업무구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
축산물보관업
28 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row축산물보관업
2nd row축산물보관업
3rd row축산물보관업
4th row축산물보관업
5th row축산물보관업

Common Values

ValueCountFrequency (%)
축산물보관업 28
100.0%

Length

2023-12-11T05:49:31.271001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:31.411324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산물보관업 28
100.0%

축산물가공업구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

축산일련번호
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
21 
0
7 

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
75.0%
0 7
 
25.0%

Length

2023-12-11T05:49:31.667385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:31.820941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
75.0%
0 7
 
25.0%

권리주체일련번호
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
L00
19 
000
9 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row000
2nd rowL00
3rd rowL00
4th row000
5th rowL00

Common Values

ValueCountFrequency (%)
L00 19
67.9%
000 9
32.1%

Length

2023-12-11T05:49:31.974568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:32.155271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
l00 19
67.9%
000 9
32.1%

총직원수
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
21 
0
7 

Length

Max length4
Median length4
Mean length3.25
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
75.0%
0 7
 
25.0%

Length

2023-12-11T05:49:32.326113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:49:32.492839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
75.0%
0 7
 
25.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
01축산물보관업07_22_24_P34200003420000007201100012011-02-21<NA>3폐업2폐업2011-03-22<NA><NA><NA>053-384-5878191.8<NA>대구광역시 동구 부동 502-3<NA><NA>남해유통2011-03-22 17:22:04I2018-08-31 23:59:59<NA>351977.848315266840.473431축산물보관업<NA><NA>000<NA>
12축산물보관업07_22_24_P34200003420000007201300012013-12-06<NA>1영업/정상0정상<NA><NA><NA><NA>053-359-36651166.0<NA><NA>대구광역시 동구 팔공로 220-2 (봉무동)41027(주)프랜푸드2023-03-23 15:57:38U2023-05-26 08:48:36<NA>348117.600847269841.018673축산물보관업<NA>0L000
23축산물보관업07_22_24_P34200003420000007201600012016-04-07<NA>3폐업2폐업2019-12-13<NA><NA>2019-12-13580-25271047.08<NA>대구광역시 동구 방촌동 1093-1대구광역시 동구 동촌로 260 (방촌동, (주)푸드웰)41163주식회사 푸드웰2019-12-17 14:17:25U2019-12-19 02:40:00<NA>350513.484656265680.109121축산물보관업<NA><NA>L00<NA>
34축산물보관업07_22_24_P34300003430000007200900012009-07-17<NA>3폐업2폐업2009-11-13<NA><NA><NA>357-5556267.12<NA>대구광역시 서구 비산동 1660대구광역시 서구 서대구로63길 11 (비산동)<NA>동보냉동2009-11-13 11:46:49I2018-08-31 23:59:59<NA>340453.856361266294.657103축산물보관업<NA><NA>000<NA>
45축산물보관업07_22_24_P34300003430000007201200012012-09-04<NA>1영업/정상0정상<NA><NA><NA><NA>280-5000891.99<NA>대구광역시 서구 이현동 45-278대구광역시 서구 국채보상로3길 25 (이현동)41754주식회사 프레시원대구경북2021-04-15 09:48:06U2021-04-17 02:40:00<NA>338350.931931264519.525882축산물보관업<NA><NA>L00<NA>
56축산물보관업07_22_24_P34300003430000007202300012023-04-17<NA>1영업/정상0정상<NA><NA><NA><NA><NA>265.72<NA>대구광역시 서구 상리동 474대구광역시 서구 새방로27길 12-8 (상리동)41751세영2023-04-17 15:29:30I2023-04-19 00:20:32<NA>338037.972396264233.635941축산물보관업<NA>00000
67축산물보관업07_22_24_P34500003450000007200900022009-06-26<NA>1영업/정상0정상<NA><NA><NA><NA>313-22721412.78<NA>대구광역시 북구 태전동 647대구광역시 북구 칠곡중앙대로51길 32 (태전동)<NA>주)동원웰푸드2009-06-26 11:08:42I2018-08-31 23:59:59<NA>339388.690364269664.126149축산물보관업<NA><NA>L00<NA>
78축산물보관업07_22_24_P34500003450000007201600012016-10-12<NA>3폐업2폐업2018-12-13<NA><NA>2018-12-13053313710020.55<NA>대구광역시 북구 팔달동 88-5대구광역시 북구 매천로2길 29 (팔달동)41489대상베스트코(주) 대구지점2018-12-14 10:48:33U2018-12-16 02:40:00<NA>339460.596398267451.979984축산물보관업<NA><NA>L00<NA>
89축산물보관업07_22_24_P34500003450000007201400012014-05-15<NA>3폐업2폐업2019-06-17<NA><NA>2019-06-17053-324-8298148.52<NA>대구광역시 북구 읍내동 1287대구광역시 북구 관음동로32길 22 (읍내동)41439주)티비비씨2019-06-18 09:48:30U2019-06-20 02:40:00<NA>339646.262242272998.092425축산물보관업<NA><NA>000<NA>
910축산물보관업07_22_24_P34500003450000007200900012009-03-30<NA>3폐업2폐업2009-03-30<NA><NA><NA><NA>0.0<NA>대구광역시 북구 관음동 1233-12대구광역시 북구 관음동로31길 6-10 (관음동)<NA>정진유통2009-12-03 11:32:03I2018-08-31 23:59:59<NA>339403.979315272892.862308축산물보관업<NA><NA>000<NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)축산업무구분명축산물가공업구분명축산일련번호권리주체일련번호총직원수
1819축산물보관업07_22_24_P34700003470000007201800012018-05-30<NA>1영업/정상0정상<NA><NA><NA><NA>053-566-09808.8<NA>대구광역시 달서구 죽전동 364-12대구광역시 달서구 와룡로57길 48-4 (죽전동)42627그린축산식품2021-02-18 19:45:45U2021-02-20 02:40:00<NA>338552.897154263092.628122축산물보관업<NA><NA>000<NA>
1920축산물보관업07_22_24_P34700003470000007200700012007-02-13<NA>1영업/정상0정상<NA><NA><NA><NA>607-5002431.2<NA>대구광역시 달서구 호산동 706-8대구광역시 달서구 성서공단북로 104 (호산동)<NA>(주)이마트대구물류센터2020-04-14 17:03:37U2020-04-16 02:40:00<NA>333920.60853261405.687893축산물보관업<NA><NA>L00<NA>
2021축산물보관업07_22_24_P34800003480000007202200012022-04-27<NA>1영업/정상0정상<NA><NA><NA><NA>053-583-70690.0<NA>대구광역시 달성군 다사읍 세천리 209-7대구광역시 달성군 다사읍 세천북로14길 54-1442922대건유통2022-04-27 15:18:25I2022-04-29 00:22:33<NA>333252.116301265400.046131축산물보관업<NA>00000
2122축산물보관업07_22_24_P34800003480000007200100012001-11-05<NA>2휴업1휴업<NA>2020-06-10<NA><NA>053)631-0805440.0<NA>대구광역시 달성군 논공읍 상리 772-1대구광역시 달성군 논공읍 비슬로264길 46<NA>대영유통2020-06-10 11:15:06U2020-06-12 02:40:00<NA>327502.933293250734.622165축산물보관업<NA><NA>L00<NA>
2223축산물보관업07_22_24_P34800003480000007202000022020-12-15<NA>3폐업2폐업2021-03-12<NA><NA>2021-03-12<NA>97.5<NA>대구광역시 달성군 화원읍 설화리 969-23대구광역시 달성군 화원읍 서쪽길 3142957대한축산2021-03-12 09:54:11U2021-03-14 02:40:00<NA>334250.681306255544.45201축산물보관업<NA><NA>000<NA>
2324축산물보관업07_22_24_P34800003480000007200500012005-03-15<NA>1영업/정상0정상<NA><NA><NA><NA><NA>873.6<NA>대구광역시 달성군 다사읍 서재리 1068-4대구광역시 달성군 다사읍 서재로12길 3942928디케이냉동산업(주)2019-05-21 13:04:17U2019-05-23 02:40:00<NA>334890.551707264040.034795축산물보관업<NA><NA>L00<NA>
2425축산물보관업07_22_24_P34800003480000007201500012015-09-04<NA>3폐업2폐업2021-04-29<NA><NA>2021-04-29<NA>696.57<NA>대구광역시 달성군 논공읍 본리리 29-12대구광역시 달성군 논공읍 논공로 46542983주식회사팔도 달성물류소2021-04-29 14:53:38U2021-05-01 02:40:00<NA>332651.312578249603.913215축산물보관업<NA><NA>L00<NA>
2526축산물보관업07_22_24_P34800003480000007202100012021-04-06<NA>1영업/정상0정상<NA><NA><NA><NA><NA>433.0<NA>대구광역시 달성군 옥포읍 강림리 535-17대구광역시 달성군 옥포읍 시저로 3542968주식회사 씨엔비2021-04-06 10:17:13I2021-04-08 00:22:58<NA>329146.319225254564.992403축산물보관업<NA><NA>L00<NA>
2627축산물보관업07_22_24_P34800003480000007202300012023-01-18<NA>1영업/정상0정상<NA><NA><NA><NA><NA>0.0<NA>대구광역시 달성군 논공읍 금포리 0대구광역시 달성군 논공읍 금강로1길 12-242974주식회사 푸코스 클린팩토리2023-01-18 16:54:06I2023-01-20 00:41:13<NA><NA><NA>축산물보관업<NA>0L000
2728축산물보관업07_22_24_P34800003480000007202000012020-10-21<NA>1영업/정상0정상<NA><NA><NA><NA>053-593-59100.0<NA>대구광역시 달성군 옥포읍 강림리 535-4대구광역시 달성군 옥포읍 시저로 3742968농업회사법인 주식회사 달구지유통2020-10-21 10:55:23I2020-10-23 00:23:09<NA>329162.914081254598.879141축산물보관업<NA><NA>L00<NA>